Instructions to use glasses/efficientnet_b0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use glasses/efficientnet_b0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("glasses/efficientnet_b0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from glasses/efficientnet_b0: direct link, hf CLI and curl.
- Browser
- Download file 21.5 MB
-
https://huggingface.co/glasses/efficientnet_b0/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://glasses/efficientnet_b0/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/glasses/efficientnet_b0/resolve/main/pytorch_model.bin
21.5 MB
- Xet hash:
- 011323987420d128bd4fdfbe549eedd1034c9a3ac051bbe05cd0bb33f7b97fc5
- Size of remote file:
- 21.5 MB
- SHA256:
- a9869440e636faef7933c3463a4f21289ea0829c6f39b6008eb54467ed4cbf36
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